Package: DisaggregateTS 3.0.0
Kaveh Salehzadeh Nobari
DisaggregateTS: High-Dimensional Temporal Disaggregation
Provides tools for temporal disaggregation, including: (1) High-dimensional and low-dimensional series generation for simulation studies; (2) A toolkit for temporal disaggregation and benchmarking using low-dimensional indicator series as proposed by Dagum and Cholette (2006, ISBN:978-0-387-35439-2); (3) Novel techniques by Mosley, Gibberd, and Eckley (2022, <doi:10.1111/rssa.12952>) for disaggregating low-frequency series in the presence of high-dimensional indicator matrices.
Authors:
DisaggregateTS_3.0.0.tar.gz
DisaggregateTS_3.0.0.tar.gz(r-4.5-noble)DisaggregateTS_3.0.0.tar.gz(r-4.4-noble)
DisaggregateTS_3.0.0.tgz(r-4.4-emscripten)DisaggregateTS_3.0.0.tgz(r-4.3-emscripten)
DisaggregateTS.pdf |DisaggregateTS.html✨
DisaggregateTS/json (API)
| # Install 'DisaggregateTS' in R: |
| install.packages('DisaggregateTS', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- combined_data - GHG Emissions and Financial Data for IBM, Caterpillar, and Walmart
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 days agofrom:d279c05634. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 30 2024 |
| R-4.5-linux | OK | Oct 30 2024 |
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| GHG Emissions and Financial Data for IBM, Caterpillar, and Walmart | combined_data |
| Temporal Disaggregation Methods | disaggregate |
| Simulation Diagnostics | simulDiagnosis |
| High and Low-Frequency Data Generating Processes | TempDisaggDGP |